Perceived health indicators, decision making, and public health

Author(s):  
Serge Briançon
2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
S Medina ◽  
A Le Tertre ◽  
C Caserio-Schönemann ◽  
A Fouillet ◽  
G Leonardi ◽  
...  

Abstract To address the complex relationship between environment and health, public-health professionals have recognized the benefits of building enduring interdisciplinary partnerships and of developing innovative Environmental and Public Health Tracking (EPHT) systems. In specific, EPHT can increase understanding of environmental health threats; improve comparability of risks between different areas of the world; enable transparency and trust among citizens and institutions; and inform preventive decision making. EPHT does so by sharing data and knowledge; and by identifying and supporting best practices. In France, the concept of EPHT builds on the observation that our changing environment creates new risks that require both specific surveillance of the link between exposure and health indicators, and syndromic surveillance (SyS) of sentinel health indicators. A specific surveillance of air pollution and health has been informing French policies on air pollution for 23 years. France has also coordinated the European Apheis and Aphekom specific-surveillance projects. Using routine pollution and health data, these projects succeeded by being built on a Europe-wide collaborative network that facilitates decision-making on local and national levels. In addition, since the 2003 heat wave France has developed syndromic surveillance for detecting the health impacts of new threats as diverse as environmental phenomena and emerging infectious diseases. France also coordinated the Triple-S project, which inventoried SyS activities in Europe; and produced guidelines for human and veterinary SyS in Member States and a proposal for a European SyS strategy. Examples of the complementarity between specific and SyS in environmental health in France include: heat and cold waves, air pollution, flooding, storms and industrial accidents. In today's world of open data, EPHT shows great promise for contributing to better informing decision makers and the population on environmental-health risks. Key messages Environmental and Public Health Tracking (EPHT) systems and enduring interdisciplinary partnerships provide an innovative way to address the complex relationship between environment and health. France has been in the forefront of applying innovative EPHT (Environmental and Public Health Tracking) by using complementary specific and syndromic (SyS) surveillance systems.


2020 ◽  
Vol 26 (3) ◽  
pp. 698-720
Author(s):  
E.V. Lobkova ◽  
A.S. Petrichenko

Subject. This article studies the mechanism of State health regulation and methods of management of efficiency of regional healthcare institutions. Objectives. The article aims to analyze the territorial health system in the context of the urgent need to optimize budget expenditures and address public health problems, as well as develop directions to improve the effectiveness of the regional health system of the Krasnoyarsk Krai. Methods. For the study, we used the method of index numbers and calculation of dynamics indicators using official statistics data. Results. We have developed and now present a system of indicators of regional health efficiency assessment, focused mainly on public health indicators and quality of medical services. We also offer our own version of the Luenberger observer modification adapted to the objectives of the regional health system analysis. Conclusions and Relevance. The article concludes that it is necessary to optimize the regional health system using the parameters of medical and social efficiency of the system. The proposed approach to assessing the effectiveness of regional health system can be used as a mechanism to develop recommendations for the management of the network of medical and prophylactic institutions of the region.


2020 ◽  
Author(s):  
Aleksandr Farseev ◽  
Yu-Yi Chu-Farseeva ◽  
Yang Qi ◽  
Daron Benjamin Loo

UNSTRUCTURED The rapid spread of the Coronavirus 2019 disease (COVID-19) had drastically impacted life all over the world. While some economies are actively recovering from this pestilence, others are experiencing fast and consistent disease spread, compelling governments to impose social distancing measures that have put a halt on routines, especially in densely-populated areas. Aiming at bringing more light on key economic and public health factors affecting the disease spread, this initial study utilizes a quantitative statistical analysis based on the most recent publicly-available COVID-19 datasets. The study had shown and explained multiple significant relationships between the COVID-19 data and other country-level statistics. We have also identified and statistically profiled four major country-level clusters with relation to different aspects of COVID-19 development and country-level economic and health indicators. Specifically, this study has identified potential COVID-19 under-reporting traits as well as various economic factors that impact COVID-19 Diagnosis, Reporting, and Treatment. Based on the country clusters, we have also described the four disease development scenarios, which are tightly knit to country-level economic and public health factors. Finally, we have highlighted the potential limitation of reporting and measuring COVID-19 and provided recommendations on further in-depth quantitative research.


Author(s):  
Bronwyn Ashton ◽  
Cassandra Star ◽  
Mark Lawrence ◽  
John Coveney

Summary This research aimed to understand how the policy was represented as a ‘problem’ in food regulatory decision-making in Australia, and the implications for public health nutrition engagement with policy development processes. Bacchi’s ‘what’s the problem represented to be?’ discourse analysis method was applied to a case study of voluntary food fortification policy (VFP) developed by the then Australia and New Zealand Food Regulation Ministerial Council (ANZFRMC) between 2002 and 2012. As a consultative process is a legislated aspect of food regulatory policy development in Australia, written stakeholder submissions contributed most of the key documents ascertained as relevant to the case. Four major categories of stakeholder were identified in the data; citizen, public health, government and industry. Predictably, citizen, government and public health stakeholders primarily represented voluntary food fortification (VF) as a problem of public health, while industry stakeholders represented it as a problem of commercial benefit. This reflected expected differences regarding decision-making control and power over regulatory activity. However, at both the outset and conclusion of the policy process, the ANZFRMC represented the problem of VF as commercial benefit, suggesting that in this case, a period of ‘formal’ stakeholder consultation did not alter the outcome. This research indicates that in VFP, the policy debate was fought and won at the initial framing of the problem in the earliest stages of the policy process. Consequently, if public health nutritionists leave their participation in the process until formal consultation stages, the opportunity to influence policy may already be lost.


2021 ◽  
pp. medethics-2020-107134
Author(s):  
Thana Cristina de Campos-Rudinsky ◽  
Eduardo Undurraga

Although empirical evidence may provide a much desired sense of certainty amidst a pandemic characterised by uncertainty, the vast gamut of available COVID-19 data, including misinformation, has instead increased confusion and distrust in authorities’ decisions. One key lesson we have been gradually learning from the COVID-19 pandemic is that the availability of empirical data and scientific evidence alone do not automatically lead to good decisions. Good decision-making in public health policy, this paper argues, does depend on the availability of reliable data and rigorous analyses, but depends above all on sound ethical reasoning that ascribes value and normative judgement to empirical facts.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Margaret M. Padek ◽  
Stephanie Mazzucca ◽  
Peg Allen ◽  
Emily Rodriguez Weno ◽  
Edward Tsai ◽  
...  

Abstract Background Much of the disease burden in the United States is preventable through application of existing knowledge. State-level public health practitioners are in ideal positions to affect programs and policies related to chronic disease, but the extent to which mis-implementation occurring with these programs is largely unknown. Mis-implementation refers to ending effective programs and policies prematurely or continuing ineffective ones. Methods A 2018 comprehensive survey assessing the extent of mis-implementation and multi-level influences on mis-implementation was reported by state health departments (SHDs). Questions were developed from previous literature. Surveys were emailed to randomly selected SHD employees across the Unites States. Spearman’s correlation and multinomial logistic regression were used to assess factors in mis-implementation. Results Half (50.7%) of respondents were chronic disease program managers or unit directors. Forty nine percent reported that programs their SHD oversees sometimes, often or always continued ineffective programs. Over 50% also reported that their SHD sometimes or often ended effective programs. The data suggest the strongest correlates and predictors of mis-implementation were at the organizational level. For example, the number of organizational layers impeded decision-making was significant for both continuing ineffective programs (OR=4.70; 95% CI=2.20, 10.04) and ending effective programs (OR=3.23; 95% CI=1.61, 7.40). Conclusion The data suggest that changing certain agency practices may help in minimizing the occurrence of mis-implementation. Further research should focus on adding context to these issues and helping agencies engage in appropriate decision-making. Greater attention to mis-implementation should lead to greater use of effective interventions and more efficient expenditure of resources, ultimately to improve health outcomes.


2021 ◽  
Vol 17 (2) ◽  
pp. 186-203
Author(s):  
Nathan Genicot

AbstractThe COVID-19 pandemic has given rise to the massive development and use of health indicators. Drawing on the history of international public health and of the management of infectious disease, this paper attempts to show that the normative power acquired by metrics during the pandemic can be understood in light of two rationales: epidemiological surveillance and performance assessment. On the one hand, indicators are established to evaluate and rank countries’ responses to the outbreak; on the other, the evolution of indicators has a direct influence on the content of public health policies. Although quantitative data are an absolute necessity for coping with such disasters, it is critical to bear in mind the inherent partiality and precarity of the information provided by health indicators. Given the growing importance of normative quantitative devices during the pandemic, and assuming that their influence is unlikely to decrease in the future, they call for close scrutiny.


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